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The "forecast steps ahead" label and documentation for ARIMA in Time Series is misleading. I read this as steps beyond the input data, but it instead appears to be steps from t=0.
The text was updated successfully, but these errors were encountered:
This also seems to be tied to the way forecasting is implemented in Orange, and has some unfortunate consequences for the accompanying confidence intervals. If a user supplies data through t=n and wishes forecasts for t=n+1 through t=n+i, they must supply t=n+i as the forecast parameter, per above. However, this also means that the confidence interval begins at t=1, ad increases from t=1 to t=n+i, even though there is known data through t=n, resulting in extraordinarily wide confidence intervals for t>n when working with lengthier time series.
The "forecast steps ahead" label and documentation for ARIMA in Time Series is misleading. I read this as steps beyond the input data, but it instead appears to be steps from t=0.
The text was updated successfully, but these errors were encountered: